Author

Takayuki Tsurumi

The University of Tokyo

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Neuroscience· 1

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Approach:machine learning (classical)· 1

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Arvind KumariD· 1 shared Ayaka KatoiD· 1 shared Kenji MoritaiD· 1 shared

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Arvind KumarORCID

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1 paper

Recent·Most cited

NeurosciencebioRxivPreprintAug 22, 2024

Online reinforcement learning of state representation in recurrent network: the power of random feedback and biological constraints

Takayuki Tsurumi, Ayaka Kato, Arvind Kumar, Kenji Morita

This study shows that RNNs can learn task structure with random feedback and biological constraints without needing offline updates or eligibility traces.

1 citation

machine learning (classical)

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